GEO Readiness Scorecard — AI/R Business Apps
A growing share of B2B buyers now begin vendor discovery through AI assistants — ChatGPT, Perplexity, Gemini, Claude. These systems don't return a list of links. They generate a recommendation. This assessment measures how ready your company is to be discovered, cited, and acted upon by AI systems.
Free 3–5 minute assessment. No login required. Trilingual: English, Portuguese (PT-BR), Spanish.
What you receive
- A 0–100 GEO score across 4 diagnostic pillars with tier benchmark
- A competitor gap signal — how far early movers in your category are ahead
- A priority action roadmap — 22 items ranked by complexity and score impact
Assessment Pillars
Pillar 1 — Content Discoverability
Can AI engines find, parse, and trust your content? Evaluates Schema Markup implementation, structured data consistency, third-party platform indexing (G2, Reddit, YouTube, industry wikis), and site speed for real-time AI retrieval engines like Perplexity and SearchGPT.
Pillar 2 — Content Structure & Authority
When AI reads your content, can it extract a clear, citable answer? Evaluates direct-answer page formats (FAQ, definitions, how-it-works), brand value proposition clarity, long-form content structure (headers, summaries), and publication of original data and proprietary research.
Pillar 3 — Prompt & Query Coverage
Are you present where your buyers are asking questions? Evaluates whether the top 20–30 buyer queries to AI assistants are mapped, brand visibility tested across ChatGPT, Perplexity, Gemini, and Claude, category-level (non-branded) query presence, and a dedicated GEO content calendar.
Pillar 4 — Measurement & Attribution
Can you track AI-driven discovery and connect it to pipeline? Evaluates referral traffic tracking from AI-native platforms, UTM attribution for AI-referred sessions, page-level citation tracking, and a defined GEO KPI framework separate from SEO metrics.
Bonus Module — Agentic Readiness (+20 points)
Can AI agents act on behalf of your buyers and find you when they do? Evaluates structured API or data feed availability, low-friction transactional flows navigable by agents, accurate brand representation in structured knowledge sources (Wikipedia, Wikidata, Crunchbase), and end-to-end agent task test completion.
Score Tiers
- 0–25 — Undetectable / Baseline: Brand is practically invisible to AI engines. Critical blind spots and legacy data silos.
- 26–50 — Emerging: Fragmented foundation. AI cannot extract citable, consistent answers about the brand.
- 51–75 — Visible / Scaling: Solid foundation. Brand appears in some AI prompts but does not dominate the category.
- 76–100 — AI-Native / Optimized: Technically ready for the agentic era. Next step: autonomous transactional agents and full pipeline attribution.
About AI/R
AI/R is a technology consulting firm specializing in AI-native architecture and Generative Engine Optimization. We make brands discoverable, citable, and recommended by large language models regardless of their technology stack.
Website: https://aircompany.ai